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Using real world data to structure and populate Markov models - a case study of telemonitoring for heart failure

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posted on 2020-03-17, 15:34 authored by Praveen ThokalaPraveen Thokala, Peter DoddPeter Dodd, Simon DixonSimon Dixon, Alan BrennanAlan Brennan
OBJECTIVE The objective is to present an alternative approach that uses routinely available hospitalisation data to define the states in the Markov model and estimate the transition probabilities for chronic heart failure patients. A case study of populating a heart failure model Markov using this real world data approach is provided.

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real world dataMarkov modelstelemonitoringheart failure eventsHealth Economics

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